Automatic classification of audio data using nonlinear neural response models. - Jörg-Hendrik Bach; Arne-Freerk Meyer; Duncan C. McElfresh; Jörn Anemüller (ICASSP, 2012)

Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. - Duncan C. McElfresh; John P. Dickerson (AAAI Workshops, 2018)

Scalable Robust Kidney Exchange. - Duncan C. McElfresh; Hoda Bidkhori; John P. Dickerson (AAAI, 2019)

A Framework for Technically- and Morally-Sound AI. - Duncan C. McElfresh (AIES, 2019)

Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. - Lok Chan; Kenzie Doyle; Duncan C. McElfresh; Vincent Conitzer; John P. Dickerson; Jana Schaich Borg; Walter Sinnott-Armstrong (AIES, 2020)

Human Comprehension of Fairness in Machine Learning. - Debjani Saha; Candice Schumann; Duncan C. McElfresh; John P. Dickerson; Michelle L. Mazurek; Michael Carl Tschantz (AIES, 2020)

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. - Debjani Saha; Candice Schumann; Duncan C. McElfresh; John P. Dickerson; Michelle L. Mazurek; Michael Carl Tschantz (ICML, 2020)

Improving Policy-Constrained Kidney Exchange via Pre-Screening. - Duncan C. McElfresh; Michael J. Curry; Tuomas Sandholm; John Dickerson 001 (NeurIPS, 2020)

Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. - Hoda Bidkhori; John Dickerson 001; Duncan C. McElfresh; Ke Ren (UAI, 2020)

Can an Algorithm be My Healthcare Proxy? - Duncan C. McElfresh; Samuel Dooley; Yuan Cui; Kendra Griesman; Weiqin Wang; Tyler Will; Neil Sehgal; John P. Dickerson (CoRR, 2020)

Active Preference Elicitation via Adjustable Robust Optimization. - Phebe Vayanos; Duncan C. McElfresh; Yingxiao Ye; John Paul Dickerson; Eric Rice (CoRR, 2020)

Optimal Kidney Exchange with Immunosuppressants. - Haris Aziz 001; Ágnes Cseh; John P. Dickerson; Duncan C. McElfresh (AAAI, 2021)

Indecision Modeling. - Duncan C. McElfresh; Lok Chan; Kenzie Doyle; Walter Sinnott-Armstrong; Vincent Conitzer; Jana Schaich Borg; John P. Dickerson (AAAI, 2021)

Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange. - Duncan C. McElfresh; John P. Dickerson; Ke Ren; Hoda Bidkhori (WSC, 2021)

Practical Algorithms for Resource Allocation and Decision Making. - Duncan C. McElfresh (2021)

On the Generalizability and Predictability of Recommender Systems. - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; John Dickerson 001; Colin White (NeurIPS, 2022)

When Do Neural Nets Outperform Boosted Trees on Tabular Data? - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; Vishak Prasad C.; Ganesh Ramakrishnan; Micah Goldblum; Colin White (NeurIPS, 2023)

A call for better validation of opioid overdose risk algorithms. - Duncan C. McElfresh; Lucia Chen; Elizabeth Oliva; Vilija Joyce; Sherri Rose; Suzanne Tamang (J. Am. Medical Informatics Assoc., 2023)

Matching algorithms for blood donation. - Duncan C. McElfresh; Christian Kroer; Sergey Pupyrev; Eric Sodomka; Karthik Abinav Sankararaman; Zack Chauvin; Neil Dexter; John P. Dickerson (Nat. Mac. Intell., 2023)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)

Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited. - Esther L. Meerwijk; Duncan C. McElfresh; Susana B. Martins; Suzanne R. Tamang (J. Biomed. Informatics, 2024)